Dynamic monitoring of farmland flood inundated area based on surface microwave scattering model and SAR remote sensing data
The microwave scattering in the flooded area of farmland depends on the wavelength,incident angle and polarization of the radar remote sensing image used.The complex surface scattering characteristics of the flood area can be quantitatively described by the surface microwave scattering model.In this paper,multi-tem-poral Sentinel-1 remote sensing images are used to interpret the dynamic changes of surface backscattering characteristics of submerged farmland,semi-submerged farmland,residential buildings and open waters during the flood process in northern Henan in 2021.Then,the research and application status of microwave scattering models in flooded and non-flooded areas of farmland are reviewed.Based on the improved first-or-der coherent scattering model of crops,the correlation between rice backscattering coefficient and vegetation height and vegetation biomass is simulated and analyzed,which provides a reference for the construction of mi-crowave scattering models in flooded areas of farmland.
NETL
NSTL
万方数据
